Results 111 to 120 of about 5,165 (221)

Scale-Adaptive Superpixels [PDF]

Color and Imaging Conference, 2018
Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk   +3 more
openaire   +1 more source

Adaptive Superpixel for Active Learning in Semantic Segmentation

, 2023
Learning semantic segmentation requires pixel-wise annotations, which can be time-consuming and expensive. To reduce the annotation cost, we propose a superpixel-based active learning (AL) framework, which collects a dominant label per superpixel instead.
Kim, Hoyoung, Hwang, Sehyun, Ok, Jungseul, Kwak, Suha, Oh, Minhyeon   +4 more
core  

Deep Spherical Superpixels

Over the years, the use of superpixel segmentation has become very popular in various applications, serving as a preprocessing step to reduce data size by adapting to the content of the image, regardless of its semantic content. While the superpixel segmentation of standard planar images, captured with a 90° field of view, has been extensively studied,
Rémi Giraud, Michaël Clément
openaire   +2 more sources

Mixture-Based Superpixel Segmentation and Classification of SAR Images

, 2016
We propose a mixture-based superpixel segmentation method for synthetic aperture radar (SAR) images. The method uses SAR image amplitudes and pixel coordinates as features.
Kayabol, Koray, Arisoy, Sertac
core   +1 more source

SuperCoT-X: Masked Hyperspectral Image Modeling With Diverse Superpixel-Level Contrastive Tokenizer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral images (HSI) exhibit complex contextual relationships, including variations in local homogeneous regions and spectral similarities among different classes.
Miaomiao Liang, Weigang Wu, Huifang Shen, Lingjuan Yu, Xiangchun Yu, Licheng Jiao   +5 more
doaj   +1 more source

Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging

, 2015
This paper presents a superpixel-basedapproach to detectprostate cancers from diffusion magnetic resonance imaging(dMRI).In this approach,superpixel generatedcandidate regionsare incorporated in thequantitativeradiomics model, MAPS[1], to detectprostate ...
Wong, Alexander, Zhang, Junjie, Haider, Masoom A., Khalvati, Farzad   +3 more
core   +1 more source

Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To improve the accuracy of coastline extraction for polarimetric synthetic aperture radar (PolSAR) images, an adaptive superpixel segmentation-based method is proposed.
Yu Wang, Zhanying Ma, Mengmeng Li, Yu Li, Xue Shi, Xuemei Zhao   +5 more
doaj   +1 more source

Superpixel Segmentation: An Evaluation

, 2015
In recent years, superpixel algorithms have become a standard tool in computer vision and many approaches have been proposed. However, different evaluation methodologies make direct comparison difficult. We address this shortcoming with a thorough and fair comparison of thirteen state-of-the-art superpixel algorithms.
openaire   +1 more source

Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing

, 2018
Hyperspectral unmixing aims at decomposing a hyperspectral image (HSI) into a number of constituted materials and associated proportions. Recently, nonnegative tensor factorization (NTF) based methods have been proved effective and natural for ...
Jingzhou Chen, Jun Zhou, Chen, Jingzhou, Zhou, Jun, Qian, Yuntao, Yuntao Qian, Xiong, Fengchao, Fengchao Xiong   +7 more
core   +1 more source

Robust Shape Regularity Criteria for Superpixel Evaluation

, 2017
International audienceRegular decompositions are necessary for most superpixel-based object recognition or tracking applications. So far in the literature, the regularity or compactness of a superpixel shape is mainly measured by its circularity. In this
Papadakis, Nicolas, Giraud, Rémi, Ta, Vinh-Thong   +2 more
core   +1 more source